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Boosting interface.matchOk and matchWrong
respectively.
IndexList,
increasing its size by one.
PREFIX
inserts the specified feat at the first position and shifts the element currently
at first position (if any) and any subsequent elements to the right (adds one to
their indices); otherwise, if the Pattern is a SUFFIX adds the
specified feat at the ending in this Pattern
PREFIX
inserts the specified feat at the first position and shifts the element currently
at first position (if any) and any subsequent elements to the right (adds one to
their indices); otherwise, if the Pattern is a SUFFIX adds the
specified feat at the ending in this Pattern
pattern-length + lookahead, given the
current prefix.
pattern-length + lookahead, given the
current prefix.
pattern-length + lookahead, given the
current suffix.
pattern-length + lookahead, given the
current suffix.
n-fold cross-validation instance.
CorpusLoader.- CorpusLoaderFactory() -
Constructor for class org.itc.irst.tcc.ties.data.CorpusLoaderFactory
- Returns only one corpusLoader factory instance
- CrossValidation - class org.itc.irst.tcc.ties.validation.CrossValidation.
- * @author Claudio Giuliano
* @version %I%, %G%
* @see AbstractValidationStrategy
* @see ValidationFactory
* @since 1.0
- CrossValidation() -
Constructor for class org.itc.irst.tcc.ties.validation.CrossValidation
-
- cacheSize -
Variable in class org.itc.irst.tcc.ties.bwi.DefaultWeakLearner.Cache
-
- cacheSize -
Variable in class org.itc.irst.tcc.ties.bwi.DefaultWeakLearner
- The cache size of pattern table instaces.
- cacheSize -
Variable in class org.itc.irst.tcc.ties.bwi.FastWeakLearner.Cache
-
- cacheSize -
Variable in class org.itc.irst.tcc.ties.bwi.FastWeakLearner
- The cache size of pattern table instaces.
- capacity() -
Method in class org.itc.irst.tcc.ties.util.IndexList
- Returns the current capacity of this
IndexList.
- capacityIncrement -
Variable in class org.itc.irst.tcc.ties.util.IndexList
- The amount by which the capacity of the
IndexList is automatically
incremented when its size becomes greater than its capacity.
- characters(char[], int, int) -
Method in class org.itc.irst.tcc.ties.bwi.AbstractWrapperLoader
- Characters.
- characters(char[], int, int) -
Method in class org.itc.irst.tcc.ties.data.AbstractCorpusLoader
- Characters.
- chooseBestAffix(Collection, int, Distribution) -
Method in class org.itc.irst.tcc.ties.bwi.DefaultWeakLearner
- Scans a collection of affixes and choose the one that scores better.
- chooseBestAffix(Detector, Collection, int, Distribution) -
Method in class org.itc.irst.tcc.ties.bwi.DefaultWeakLearner
- Scans a collection of affixes and choose the one that scores better.
- chooseBestAffix(Collection, int, Distribution) -
Method in class org.itc.irst.tcc.ties.bwi.FastWeakLearner
- Scans a collection of affixes and choose the one that scores better.
- chooseBestAffix(Detector, Collection, int, Distribution) -
Method in class org.itc.irst.tcc.ties.bwi.FastWeakLearner
- Scans a collection of affixes and choose the one that scores better.
- chooseBestDetector(Collection, int, Distribution) -
Method in class org.itc.irst.tcc.ties.bwi.DefaultWeakLearner
- Scans a collection of detectors and choose the one that scores better.
- chooseBestDetector(Collection, int, Distribution) -
Method in class org.itc.irst.tcc.ties.bwi.FastWeakLearner
- Scans a collection of detectors and choose the one that scores better.
- clear() -
Method in class org.itc.irst.tcc.ties.bwi.ExtractionResult
- Removes all mappings from this result.
- clear() -
Method in class org.itc.irst.tcc.ties.data.InvertedIndex
- Removes all mappings from this map.
- closeAll -
Variable in class org.itc.irst.tcc.ties.bwi.DefaultFieldExtraction
- to do. default is false.
- closeAll -
Variable in class org.itc.irst.tcc.ties.bwi.StandardFieldExtraction
- to do. default is false.
- closeTagSet -
Variable in class org.itc.irst.tcc.ties.data.StandardCorpusLoader
-
- column() -
Method in class org.itc.irst.tcc.ties.validation.MicroAvarage
- to do.
- column() -
Method in class org.itc.irst.tcc.ties.validation.ValidationResult
- comment to do.
- combine(Collection, Collection, int, int, PatternTable) -
Method in class org.itc.irst.tcc.ties.bwi.DefaultWeakLearner
- Extends the patterns built at previous step.
- combine(Collection, Collection, int, int, PatternTable) -
Method in class org.itc.irst.tcc.ties.bwi.FastWeakLearner
- Extends the patterns built at previous step.
- combine(Collection, Collection, int) -
Method in class org.itc.irst.tcc.ties.bwi.PatternTableBuilder
-
- compare(Object, Object) -
Method in class org.itc.irst.tcc.ties.bwi.ExtractionResult.EntityMap.EntityComparator
-
- computeScore(Collection, String, double[]) -
Method in class org.itc.irst.tcc.ties.bwi.DefaultFieldExtraction
- Computes the fore/aft score for every boundary in
the data set.
- computeScore(Collection, String, double[]) -
Method in class org.itc.irst.tcc.ties.bwi.StandardFieldExtraction
- Computes the fore/aft score for every boundary in
the data set.
- confidence(Distribution, PatternMatches) -
Method in class org.itc.irst.tcc.ties.ml.boosting.AdaBoost
- Returns the confidence value of a weak hypothesis given its pattern
matches.
- confidenceValue -
Variable in class org.itc.irst.tcc.ties.bwi.Detector
- The confidence value.
- confidenceValue -
Variable in class org.itc.irst.tcc.ties.bwi.WrapperLoader
- The confidence value.
- contains(int) -
Method in class org.itc.irst.tcc.ties.util.IndexList
- Tests if the specified object is a component in this
IndexList.
- containsAll(Feature) -
Method in class org.itc.irst.tcc.ties.data.patterns.Pattern
- Returns
true if this Pattern contains all the tokens equals to the
specified feat.
- containsFile(File) -
Method in class org.itc.irst.tcc.ties.bwi.ExtractionResult
- Returns
true if this result contains a mapping for the specified file
- containsPattern(Pattern) -
Method in class org.itc.irst.tcc.ties.bwi.PatternTable
-
- contents -
Variable in class org.itc.irst.tcc.ties.bwi.AbstractWrapperLoader
- Buffer for collecting data from the "characters" SAX event.
- contents -
Variable in class org.itc.irst.tcc.ties.data.AbstractCorpusLoader
- Buffer for collecting data from the "characters" SAX event.
- copyInto(int[]) -
Method in class org.itc.irst.tcc.ties.util.IndexList
- Copies the components of this
IndexList into the specified array.
- corpusLoaderClass -
Variable in class org.itc.irst.tcc.ties.data.CorpusLoaderFactory
- The Java class name of the object creation factory class.
- corpusLoaderFactory -
Static variable in class org.itc.irst.tcc.ties.data.CorpusLoaderFactory
- A prototype for a corpusLoader factory such that only
one instance class can ever exist.
- coupleTags(IndexList, IndexList, double[], String) -
Method in class org.itc.irst.tcc.ties.bwi.TagCoupling
- Returns a list of fields obtained by coupling the fore and after detectors.
- createHash(String) -
Method in class org.itc.irst.tcc.ties.validation.MultiSplitValidation
- Reads from a specified file a set of file names and
* puts them in a Set
- createHash(String) -
Method in class org.itc.irst.tcc.ties.validation.SingleSplitValidation
- Reads from a specified file a set of file names and
puts them in a Set.
- createPattern(Collection[], int, int, PatternTable) -
Method in class org.itc.irst.tcc.ties.bwi.DefaultWeakLearner
- Creates the extension patterns.
- createPattern(Collection[], int, int, PatternTable) -
Method in class org.itc.irst.tcc.ties.bwi.FastWeakLearner
- Creates the extension patterns.
- createPattern(Collection[], int) -
Method in class org.itc.irst.tcc.ties.bwi.PatternTableBuilder
-
- createPatterns() -
Method in class org.itc.irst.tcc.ties.bwi.PatternTableBuilder
- Computes the initial matches of the given tag in the example set and returns a collection
of affixes (whose pattern length is at most
lookahead).
- createPrefixPatterns(int) -
Method in class org.itc.irst.tcc.ties.bwi.PatternTableBuilder
- Creates the patterns for a given example.
- createSuffixPatterns(int) -
Method in class org.itc.irst.tcc.ties.bwi.PatternTableBuilder
- Creates the patterns for a given example.
- cv -
Variable in class org.itc.irst.tcc.ties.bwi.Affix
-
- cvs -
Variable in class org.itc.irst.tcc.ties.bwi.Affix
-
PatternMatcher interface.DefaultWeakLearner object implements the WeakLearner
interface.
IndexList with the components of this IndexList
incremented by inc.
ExtractionResult.
IndexList.
IndexList, if necessary, to ensure
that it can hold at least the number of components specified by
the minimum capacity argument.
n-fold cross-validation instance.
PatternMatcher
interface.WeakLearner interface.
Entity to which this obejct maps
the specified file.
Entity to which this obejct maps
the specified file name.
Index to which this inverted index maps
the specified lexitem.
Index to which this inverted index maps
the specified lexitem.
Feature object at the specified index.
Hypothesis.
IndexList - for the specified
collection of detectors and tag.
IndexList into the specified array.
Hypothesis.
Hypothesis.
Hypothesis.
k.
Hypothesis.
Hypothesis.
Feature object at the specified index.
Feature objects.
Hypothesis.
Hypothesis.
learn method of Learner.
Detector.
IndexList class implements a growable sorted list of indexes.
IndexList with the specified initial capacity and
capacity increment.
IndexList with the specified initial capacity.
IndexList.
IndexList with the components of this IndexList
incremented by inc.
IndexList with the components of this IndexList
incremented by inc.
equals method.
index, and testing for equality using
the equals method.
true if the example belongs to
some class, false otherwise.
true if this map contains no file-entities mappings.
true if this map contains no key-value mappings.
IndexList has no components.
true if the example does not belong
to the specified class, false otherwise.
true if the example belongs to
the specified class, false otherwise.
true if the i
example belongs to the specified class,
false otherwise.
n-fold
cross-validation, where n is the
number of instances in the dataset. IndexList.
WeakHypothesis; the WeakLearner
invokes learn T times to learn a weak hyphotesis.
learnDetector
(indirectly through adaBoost) T times to learn the "fore"
detectros, and then T more times to learn the "aft" detectors.
AbstractWrapperLoader.
Affix.
BWI.
BoostingFactory.
Classifier.
DefaultFieldExtraction.
DefaultWeakLearner.
Detector.
Distribution.
ExtractionResult.
FastWeakLearner.
FieldExtractionFactory.
LearnerFactory.
PatternTable.
PatternTableBuilder.
Score.
StandardFieldExtraction.
TagCoupling.
Wrapper.
WrapperLoader.
AbstractCorpusLoader.
CorpusLoaderFactory.
DefaultCorpusLoader.
DefaultInstance.
Entity.
Example.
ExampleSet.
Feature.
Field.
Index.
InvertedIndex.
ScoredField.
StandardCorpusLoader.
TextList.
DefaultPatternMatcher.
FastPatternMatcher.
Pattern.
PatternMatches.
AdaBoost.
BoostingFactory.
Distribution.
UDistribution.
IndexList.
AbstractValidationStrategy.
CrossValidation.
Evaluation.
ExampleCounter.
LearningCurve.
LeaveOneOut.
MicroAvarage.
MultiSplitValidation.
NFoldCrossValidation.
RandomSplitValidation.
SingleSplitValidation.
TenFoldCrossValidation.
ValidationFactory.
ValidationResult.
true ...
true ...
true ...
true if the lexitem matches this
token pattern, false otherwise.
true if the specified Feature
matches in this instace, false otherwise.
pattern
over the example set.
pattern
over the example set.
pattern
over the example set.
n-fold cross-validation. Pattern object containing no tokens.
Pattern object that represents the
sequence of tokens currently contained in the feat list argument.
matchOk and matchWrong respectively.
PatternMatches.
PatternMatches.
entity into a list of
entities associates with the specified file;
entity into a list of
entities associates with the specified file;
pattern to the specified Affix
in this table.
pattern to the specified Affix
in this table.
index into a list of indexes associates with the
specified lexitem.
n-fold cross-validation. newAffix, which results in a detector that scores better
than then old one, and returns an Affix with the first token of the extension
added to the appropriate part of oldAffix.
newAffix, which results in a detector that scores better
than then old one, and returns an Affix with the first token of the extension
added to the appropriate part of oldAffix.
n different subsets; i.e., there is no
"crossing".
index of this
vector to be the specified object.
Entity.
index of this
Pattern to be the specified feat.
IndexList.
TagCoupling object couples the open tags
with the close tags.10-fold cross-validation. ExtractionResult.
IndexList.
IndexList to be the IndexList's current
size.
true if the example belongs to
a specified class, false otherwise.
ValidatorNotFoundException
with no detail message.
ValidatorNotFoundException
with the specified detail message.
n approximately equal
* partitions, and each in turn is used for testing while
* the remainder is used for training
- validate(Learner, String, boolean) -
Method in class org.itc.irst.tcc.ties.validation.CrossValidation
- The data is split into
n approximately equal
* partitions, and each in turn is used for testing while
* the remainder is used for training
- validate(Learner, String) -
Method in class org.itc.irst.tcc.ties.validation.ExampleCounter
- The data is split into
n approximately equal
* partitions, and each in turn is used for testing while
* the remainder is used for training
- validate(Learner, String) -
Method in class org.itc.irst.tcc.ties.validation.SingleSplitValidation
- The data is split into
n approximately equal
partitions, and each in turn is used for testing while the
remainder is used for training.
- validate(Learner, String) -
Method in interface org.itc.irst.tcc.ties.validation.ValidationStrategy
- The data is split into
n approximately equal
partitions, and each in turn is used for testing while
the remainder is used for training.
- validationClass -
Variable in class org.itc.irst.tcc.ties.validation.ValidationFactory
- The Java class name of the object creation factory class.
- validationFactory -
Static variable in class org.itc.irst.tcc.ties.validation.ValidationFactory
- A prototype for a validation factory such that only one instance class
can ever exist.
- value -
Variable in class org.itc.irst.tcc.ties.data.Feature
- The value of this feature.
- values() -
Method in class org.itc.irst.tcc.ties.bwi.ExtractionResult.EntityMap
- Returns a set view of the entities contained in this
entity map.
- values() -
Method in class org.itc.irst.tcc.ties.bwi.ExtractionResult
- Returns a set view of the entities contained in this result
- values() -
Method in class org.itc.irst.tcc.ties.bwi.PatternTable
- Returns an enumeration of the patterns in this table.
- values() -
Method in class org.itc.irst.tcc.ties.data.InvertedIndex
-
learn method of Learner.
F = {F1, F2, ...,
FT} and A = {A1,
A2, ..., AT}
of detectors, and a function H : [-∞, +∞]
→[0, 1].
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